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SEM-I Computer Sc. Engg.: All

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  • 35 students enrolled

SEM-I Computer Sc. Engg.: All

A Knowledge & result oriented course specially designed for B.Tech. (Semester-I) students. The complete syllabus is covered in interesting way and numericals are solved with innovative ideas which develops confidence & motivates you to initiate for a grand success.

  • No Rating
  • (0 Reviews)
  • 35 students enrolled
  • ₹1900.00
  • ₹5000.00
  • Course Includes
  • Programming for Problem Solving
  • Mathematics-I
  • HRD & OB


What learn

  • Introduction, Computer Sys, Alogorithm, Flow-Chart, Data Type, Functions, Network, Array, Lop, File Handling

Course Content

3 sections • 93 lectures • 03h 20m total length
Lecture 01
Introduction to Programming for Problem Solving, Computer System
01:05:10min
Lecture 02
Computer System
01:22:38min
Lecture 03
Idea of Algorithm & Flowchart
01:25:02min
Lecture 04
History of Programming Languages
01:02:43min
Lecture 05
Programming Languages & Intoduction to C
01:06:20min
Lecture 06
Character Set & Tokens
01:58:54min
Lecture 07
Data Type
01:36:41min
Lecture 08
Variable, Declaration, Input/Output Operation
01:33:40min
Lecture 09
Arithmetic, Relational, Assignment Operatior
01:29:05min
Lecture 10
Conditional & Logical Operator
01:17:46min
Lecture 11
Increament & Decreament Operator
01:14:55min
Lecture 12A
Bitwise Operator & Special Operator
01:27:51min
Lecture 12B
Type Casting
26:56min
Lecture 13
Compiler, Linker, Loader
01:05:32min
Lecture 14
Decision Making & Branching
01:50:14min
Lecture 15
Nested IF-ELSE, (With Examples)
56:29min
Lecture 16
Switch Case,ConditionalOperator,GOTO Statement
01:33:27min
Lecture 17
Decision Making & Looping
01:21:08min
Lecture 18
WHILE Loop & DO WHILE Loop
56:29min
Lecture 19
Factorial & Fibonacci Series
01:03:49min
Lecture 20
Pattern Programming, (Session-I)
01:14:20min
Lecture 21
Pattern Programming, (Session-II)
01:32:31min
Lecture 22
Network
01:48:51min
Lecture 23
2-D Array
01:59:00min
Lecture 24
Matrix Operation
00:45:18min
Lecture 25
Character Array & String
01:09:19min
Lecture 26
String Manipulation Functions
01:01:57min
Lecture 27
Introduction to Function, Structured Programming, Function Definition, Function Declaration, Function Call, Examples
01:41:05min
Lecture 28
Used Defined Functions
01:17:57min
Lecture 29
Variable Scope, (Local & Global Scope)
00:59:12min
Lecture 30
Storage Class
01:42:37min
Lecture 31
Recursion
00:38:51min
Lecture 32
Pointer
01:27:26min
Lecture 33
Reading Pointer Declaration
00:54:13min
Lecture 34
Function Pointer
00:50:36min
Lecture 35
Call by Value/Call by Adress
00:53:40min
Lecture 36
Pointer & Array
01:01:59min
Lecture 37
Array & Structure, Structure Definition, Defining Structure, Structure Variable Declaration, Memory allocation of Structure Variable
01:01:48min
Lecture 38
Structure Initialization, Size of Structure
00:53:08min
Lecture 39
Local Definition of Structure, Global Definition of Structure, Array of Structure, Array in Structure
01:08:18min
Lecture 40
Pointer, Structure & Union
01:28:23min
Lecture 41
Dynamic Memory Allocation
01:14:17min
Lecture 42
Linked List
01:40:26min
Lecture 43
File Handling
00:56:50min
Lecture 44
Read/Write operation on File, Appending Data, Copying data
01:22:34min
Lecture 45
Linear & Binary Search
01:47:46min
Lecture 46
Bubble Sort
01:30:47min
Lecture 47
Section Sort
01:17:19min
Lecture 48
Insertion Sort
00:47:04min
Lecture 49
Quick Sort, (Recursive)
01:14:00min
Lecture 50
Merge Sort, (Recursive)
00:42:13min
Lecture 19A
Loop Example, (Session-I)
00:57:57min
Lecture 19B
Loop Example, (Session-II)
01:13:05min
Lecture 01
Evaluation of Definite & Improper Integrals
01:16:27min
Lecture 02
Some more properties of Definite Integrals with examples. Test of Improper Integral of 1st Type.
01:41:47min
Lecture 03
Definition of Beta Function & their Properties. Definition of Gamma Function & their Properties. Relation between Beta & Gamma Function
01:34:23min
Lecture 04
Duplication Formula, Application of Beta & Gamma Function, Some Important Questions
01:57:14min
Lecture 05
Surface Area of Solid generated by Revolution
00:44:53min
Lecture 06
Volume of Solid generated by Revolution Plane
01:16:09min
Lecture 07
Evolute & Involute
01:14:56min
Lecture 08
Rolle's theorem & Langrange's Mean Value theorem
02:11:22min
Lecture 09
Taylor's & Maclaurine Series
01:33:28min
Lecture 10
Taylor's Theorem with Remainder
00:49:45min
Lecture 11
Intermediate Form & L'Hospital Rule
00:37:07min
Lecture 12
Maxima Minima
01:26:28min
Lecture 13
Sequence & Series
01:07:07min
Lecture 14
Basic Concept of Fourier Series, Fourier Series for Continuous Function
01:17:52min
Lecture 15
Fourier Series for Discontinuous Function, Half Range Cosine & Sine Series
00:43:05min
Lecture 16
Fourier Series for Even & Odd Function, Parseval's theorem with examples
01:08:19min
Lecture 17
Partial Defferentiation
01:22:33min
Lecture 18
Langrange's Method of Undetermind Multiplier
01:00:18min
Lecture 19
Successive Differentiation
01:29:41min
Lecture 20
Radius of Convergence, Ratio Test, Cauchy Root Test with Examples
00:59:24min
Lecture 21
Convergence of Logrithmic Series, Convergence of Exponential Series, Convergence of Trigonometric Series
00:26:23min
Lecture 22
Contuinity & Differentiability
00:40:54min
Lecture 23
D.E. of First Order & First Degree, Exact D.E., Linear D.E., Bernoulli's D.E., Euler's Rule to find G.S. & D.E.
01:54:28min
Lecture 24
First Order & Higher Degree, Solvable for p, y & x, Clairuat's Equation
00:49:40min
Lecture 25
Second Order D.E. with Constant Co-efficient
00:47:01min
Lecture 26
Second Order D.E. with Variable Co-efficient
01:35:07min
Lecture 27
Differential Equation of order n
01:12:01min
Lecture 28
Definition & Types of Matrices, Addition, Subtraction & Multiplication of Matrices
00:52:49min
Lecture 29
Adjoint of a Square Matrix, Rank of a Matrix, Normal Form, Linear System of Equations
00:58:22min
Lecture 30
Eigen Value & Eogen Vector of a Matrix, Properties of Eogen Values
01:05:17min
Lecture 31
Caley-Hamilton Theorem, Diagonal Form of a Matrix, Modal Matrix, Use of Scientific Calculator
01:38:06min
Lecture 32
Gauss Elimination Method, Gauss Jordan Elimination Method
00:30:02min
Lecture 33
Formation of PDE, First Order PDE, (Linear & Non-Linear)
00:48:35min
Lecture 01
Introduction & its Nature, Basic Knowledge of HRM, Nature of HRM
00:55:38min
Lecture 02
Characteristics, Objectives, Concept & Need
01:00:25min
Lecture 03
Scope, Role of HR, Functioning of HRM
00:48:13min
Lecture 04
Human Resource Planning, Objective of HRP
01:04:32min
Lecture 05
Characteristics of HRP, Scope of HRP, Strategy Formulation
00:58:06min
Lecture 06
Planning at different Levels, Job Analysis
00:56:08min
Lecture 07
Significance of Job Analusis & Process of Job Analysis, Types of Job Analysis, Advantages & Disadvantages of Job Analysis
00:58:31min

Requirements

  • BE/B.Tech. (Pursuing)

Description

Description:

  • Descriptive knowledge :Education from basic level and more descriptive . Specially designed for those who are interested getting top ranks.
  • Ability Enhancement :Education through this course enhances knowledge and enables to qualify different competitive exams.
  • Better job opportunities :A qualified & ranked engineers attracts the employer and they are at the priority of the selection list.
  • Prestigious career options :Through Engineering education, bright career waits for. You can attain not only economically sound position but you will get recognition on the social stages.

Outcomes:

  • Have conceptual knowledge of all subjects.
  • Solving numerical problems with innovative ideas.
  • Getting solutions of customized problems for knowledge enhancement.
  • Confidence development through various tests & discussions.
  • Learning tricks that how to qualify the semester examination with top ranks by learned & experienced educators.

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About Instructor

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